Earth system reconstructions are key to understanding past climate dynamics, environmental variability, and biogeochemical cycles, revealing how Earth responds to natural and human influences. These reconstructions require integrating geological, geophysical, and geochemical data with advanced computational models.
Recent advancements in Large Language Models (LLMs) enhance the processing of complex datasets, improving the accuracy and predictive power of Earth system reconstructions. To leverage this, we develope GeoGPT, a domain-specific LLM for geosciences, trained on open-source data. This open-source, non-profit project encourages broad collaboration among experts in broad branches of the geoscience and AI. GeoGPT helps advance Earth system reconstructions, offering deeper insights into Earth's past and future, and guiding responses to environmental challenges.
By harnessing the combined strengths of Geoscientists, AI experts, and the broader research community, GeoGPT aspires to unlock new avenues of exploration, accelerate breakthrough discoveries.
How to cite: Chen, H.: GeoGPT and Its Potential Applications for Earth system Reconstructions, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7628, https://doi.org/10.5194/egusphere-egu25-7628, 2025.